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Lecture
Matrix Operations: Multiplication and Inverses
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Linear Equations and Matrix Calculations
Covers the fundamentals of linear equations, matrices, and systems of linear equations, including matrix operations and solutions.
Matrix Operations: Rules and Applications
Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.
Matrix Inversion: Basics and Properties
Covers the basics of matrix inversion, properties of matrix multiplication, and the uniqueness of matrix inverses.
Matrix Operations: LU Factorization & Subspace Vector
Covers LU factorization, determinants, subspaces, and matrix products.
Singular Value Decomposition: Applications and Interpretation
Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.
Linear Algebra: Matrices and Operations
Covers the definition of 3x3 matrices, determinants, matrix operations, and invertibility.
Matrix Operations: Transposition, Rank, and Basis Change
Covers matrix transposition, rank, and basis change in linear algebra, exploring invertibility criteria and basis relationships.
Calculs and Algorithms for Determinant
Covers calculations and algorithms for determining the determinant of a matrix, including permuting rows and multiplying by coefficients.
Row-echelon and reduced row-echelon matrices
Explains row-echelon and reduced row-echelon matrices and their role in simplifying system resolution.
Matrix Operations: Product and Inverse
Covers matrix operations, focusing on the product and inverse of matrices.